{"id":1229,"date":"2023-04-11T20:46:33","date_gmt":"2023-04-11T12:46:33","guid":{"rendered":"https:\/\/www.corticalchip.com\/?p=1229"},"modified":"2026-03-03T16:15:36","modified_gmt":"2026-03-03T08:15:36","slug":"%e5%82%85%e7%bf%94%e4%b8%aa%e4%ba%ba%e7%ae%80%e4%bb%8b","status":"publish","type":"post","link":"https:\/\/www.corticalchip.com\/index.php\/2023\/04\/11\/%e5%82%85%e7%bf%94%e4%b8%aa%e4%ba%ba%e7%ae%80%e4%bb%8b\/","title":{"rendered":"\u5085\u7fd4\u4e2a\u4eba\u7b80\u4ecb"},"content":{"rendered":"\n<p class=\"has-black-color has-text-color\"> &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp;  &nbsp;&nbsp; &nbsp;  &nbsp;&nbsp;  &nbsp;&nbsp;  &nbsp;&nbsp; &nbsp;  &nbsp;&nbsp; &nbsp;  &nbsp;&nbsp;&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"210\" class=\"wp-image-1230\" style=\"width: 150px;\" src=\"http:\/\/www.corticalchip.com\/wp-content\/uploads\/2023\/04\/image.png\" alt=\"\"><br>&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp; \u4e2a\u4eba\u90ae\u7bb1\uff1afuxiang@cqu.edu.cn<\/p>\n\n\n\n<p class=\"has-black-color has-text-color\">&nbsp;&nbsp; &nbsp;&nbsp;\u5085\u7fd4\uff0c2023\u5e746\u6708\u83b7\u5f97\u91cd\u5e86\u5927\u5b66\u5fae\u7535\u5b50\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662\u5b66\u58eb\u5b66\u4f4d\u30022023\u5e749\u6708\u5165\u5b66\u91cd\u5e86\u5927\u5b66\u5fae\u7535\u5b50\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662\uff0c\u63a8\u8350\u514d\u8bd5\u653b\u8bfb\u7855\u58eb\u5b66\u4f4d\u30022025\u5e743\u6708\u901a\u8fc7\u7855\u535a\u8fde\u8bfb\u62db\u751f\u8003\u6838\uff0c\u4e8e\u91cd\u5e86\u5927\u5b66\u5fae\u7535\u5b50\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662\u7ee7\u7eed\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\u3002\u8363\u83b72025\u5e74\u7b2c\u516b\u5c4a\u4e2d\u56fd\u7814\u7a76\u751f\u521b\u201c\u82af\u201d\u5927\u8d5b\u56e2\u961f\u4f18\u79c0\u5956\u3001\u7b2c\u4e8c\u5341\u4e00\u5c4a\u4e2d\u56fd\u7814\u7a76\u751f\u6570\u5b66\u5efa\u6a21\u7ade\u8d5b\u5168\u56fd\u4e09\u7b49\u5956\uff0c2024\u5e74\u7b2c\u516d\u5c4a\u201d\u5927\u521b\u6167\u8c37\u201c\u5927\u5b66\u751f\u521b\u4e1a\u521b\u65b0\u5927\u8d5b\u6570\u5b57\u7ecf\u6d4e\u4eba\u624d\u7ec4\u4e8c\u7b49\u5956\uff0c2023\u5e74\u201c\u5146\u6613\u521b\u65b0\u201d\u7b2c\u5341\u516b\u5c4a\u4e2d\u56fd\u7814\u7a76\u751f\u7535\u5b50\u8bbe\u8ba1\u7ade\u8d5b\u897f\u5357\u8d5b\u533a\u4e00\u7b49\u5956\uff0c2022\u5e74\u7b2c\u5341\u4e03\u5c4a\u5168\u56fd\u5927\u5b66\u751f\u667a\u80fd\u8f66\u7ade\u8d5b\u5168\u56fd\u4e8c\u7b49\u5956\u3001TI\u676f\u91cd\u5e86\u5e02\u5927\u5b66\u751f\u7535\u5b50\u8bbe\u8ba1\u7ade\u8d5b\u4e00\u7b49\u5956\u7b49\u3002\u4e3b\u6301<strong>\u91cd\u5e86\u5e02\u7814\u7a76\u751f\u79d1\u7814\u521b\u65b0\u9879\u76ee<\/strong>\u201c\u5b9e\u65f6\u7247\u4e0a\u4eba\u5f62\u68c0\u6d4b\u7cfb\u7edf\u201d\uff0c\u4ee5\u5b66\u751f\u7b2c\u4e00\u4f5c\u8005\u8eab\u4efd\u5728\u96c6\u6210\u7535\u8def\u8bbe\u8ba1\u9886\u57df\u9ad8\u6c34\u5e73\u671f\u520a<strong><em>I<\/em><\/strong><em><strong>EEE Transactions on Circuits and Systems II: Express Briefs<\/strong><\/em> \u53d1\u8868\u8bba\u65871\u7bc7\u3002\u5148\u540e\u62c5\u4efb\u672c\u9662\u7814\u7a76\u751f\u4f1a\u5b66\u672f\u90e8\u526f\u90e8\u957f\u3001\u529e\u516c\u5ba4\u4e3b\u4efb\uff0c\u540c\u65f6\u62c5\u4efb\u73ed\u7ea7\u5b66\u4e60\u59d4\u5458\u3001\u8f85\u5bfc\u5458\u52a9\u7ba1\u3001\u516c\u5171\u5b9e\u9a8c\u5ba4\u7ba1\u7406\u5458\u7b49\u804c\u52a1\u3002\u76ee\u524d\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7b97\u6cd5\u7814\u7a76\u4e0e\u795e\u7ecf\u5f62\u6001\u7c7b\u8111\u82af\u7247\u8bbe\u8ba1\u3002<\/p>\n\n\n\n<p class=\"has-black-color has-text-color\"><strong>\u53d1\u8868\u8bba\u6587<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list has-black-color has-text-color\">\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-blue-color\"><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10511289\" target=\"_blank\" rel=\"noreferrer noopener\">Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine with On-Chip Learning<\/a><\/mark><br>&nbsp; &nbsp;&nbsp;Cong Shi,&nbsp;<strong>Xiang Fu<\/strong>, Haibing Wang, Yingcheng Lin, Ying Jiang, Liyuan Liu, Nanjian Wu, Min Tian*.<strong>&nbsp;<\/strong><em><strong>IEEE Transactions on Circuits and Systems II: Express Briefs<\/strong><\/em>:&nbsp;&nbsp;2024, 71(10), 4526-4530.<strong>\uff08SCI\uff0c2\u533a\uff09<\/strong><br><br><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0);color:#545ff0\" class=\"has-inline-color\"><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10364321\" target=\"_blank\" rel=\"noreferrer noopener\">NORP: A Compact Neuromorphic Olfactory Recognition Processor with On-Chip Hybrid Learning<\/a><\/mark><br>&nbsp; &nbsp; &nbsp;Cong Shi, Yuxuan Wang, Fengchun Tian, <strong>Xiang Fu<\/strong>, Haibing Wang, Jingya Zhang, Haoran Gao, Shukai Duan, Lidan Wang, Min Tian*. <strong><em>IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>, 2023, 31-32.<br><br><\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10841405\" target=\"_blank\" rel=\"noreferrer noopener\">An Edge Neuromorphic Processor With High-Accuracy On-Chip Aggregate-Label Learning<\/a><br>&nbsp; &nbsp;&nbsp;Guanyu Chen, Minju Chen, Tengxiao Wang, Haibing Wang, <strong>Xiang Fu<\/strong>, Yingcheng Liu, Liyuan Liu,&nbsp;Cong Shi*.&nbsp;<em><strong>IEEE Transactions&nbsp;<\/strong><\/em><strong><strong><em>On Circuits and Systems II: Express Briefs<\/em><\/strong>,&nbsp;<\/strong>2025, 72(3), 509-513.<strong>\uff08SCI\uff0c2\u533a\uff09<\/strong><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; &nbsp;&#038;n [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1229","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/1229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/comments?post=1229"}],"version-history":[{"count":26,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/1229\/revisions"}],"predecessor-version":[{"id":2684,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/1229\/revisions\/2684"}],"wp:attachment":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/media?parent=1229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/categories?post=1229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/tags?post=1229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}